AI portrait
This portrait was algorithmically built from this dog's genome: their genotype at 8 morphology loci (coat length, curl, color, ear set, body size, head shape, skull, furnishings) plus their position within the 14,478-dog atlas. The same dog always reproduces the same portrait. A different dog with different alleles gets a different portrait.
PFZ3F02_PFZ3F02
PFZ3F02_PFZ3F02 is labelled Village Dog Colombia in the Hayward2016 cohort - a catch-all CanVAS label, not a literal ancestry call. One of 14,478 dogs who built the atlas.
See PFZ3F02_PFZ3F02 in the atlasPFZ3F02_PFZ3F02 is a notable Village Dog Colombia - distinctive within the breed.
- Predicted large by the six body-size genes the atlas reads (IGF1, HMGA2, SMAD2, LCORL, STC2, ADAMTS17).
- Standard leg length. No chondrodysplasia retrogene variant.
- Smooth coat. No wire-furnishings variant at RSPO2.
The five dogs in the atlas whose genomes sit closest to PFZ3F02_PFZ3F02's. Click any of them to keep exploring.
PFZ3F02_PFZ3F02's genome decomposes mostly into Labrador Retriever, with additional weight on German Shepherd, and Golden Retriever.
Breed similarity from non-negative least squares against 91 breed centroids in PCA-256 space, corrected for atlas sample-size imbalance. Without correction, Goldens (22% of the atlas) leak into every dog's raw NNLS breakdown; with it, the bias falls out. Raw fractions stay in the dataset for re-derivation. Methodology.
- Labrador Retriever 45%
- German Shepherd 35%
- Golden Retriever 20%
From the CanVAS (Hayward2016 cohort) . Breed-page reference: Village Dog Colombia.
Full genotype detail click to expand
The actual allele call at each locus's representative SNP for this dog. Each gene name links to its page where you can see the per-breed frequency table and the direction of effect.
Technical details click to expand
The numbers behind the placement. Useful for researchers reproducing the math or debugging an unexpected position; not interesting to most readers.
y 0.767
z 5.621
The 3 PCs on which PFZ3F02_PFZ3F02 scores most extreme, with the 3 highest-loading SNPs on each. Foundation for the future genome-ring visualization.
- chr23:3,426,742 loading 0.0355
- chr23:3,756,166 loading 0.0335
- chr4:38,305,840 loading 0.0333
- chr2:48,735,597 loading 0.0380
- chr23:1,924,139 loading -0.0317
- chr23:1,615,600 loading -0.0317
- chr26:9,892,015 loading 0.0403
- chr19:3,081,516 loading 0.0393
- chr26:3,675,581 loading 0.0362